Jordan T. Ash
About
In The Last Decade
Jordan T. Ash
9 papers receiving 180 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 48
- Artificial Intelligence 47
- Structural Biology 35
- Surfaces, Coatings and Films 22
- Biophysics 21
Countries citing papers authored by Jordan T. Ash
This map shows the geographic impact of Jordan T. Ash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jordan T. Ash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan T. Ash more than expected).
Fields of papers citing papers by Jordan T. Ash
This network shows the impact of papers produced by Jordan T. Ash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jordan T. Ash. The network helps show where Jordan T. Ash may publish in the future.
Co-authorship network of co-authors of Jordan T. Ash
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan T. Ash. A scholar is included among the top collaborators of Jordan T. Ash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jordan T. Ash. Jordan T. Ash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 44 | |
| 3 | Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds | 22 |
| 4 | 41 | |
| 5 | End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. | 5 |
| 6 | On the Difficulty of Warm-Starting Neural Network Training | 7 |
| 7 | 7 | |
| 8 | 42 | |
| 9 | 11 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.